LightningStudio

AI app development

AI is most useful when it quietly makes an app better. We build AI features people actually use: characters that join a conversation, a coach that writes and adjusts a training plan, summaries, translation and image generation.

We pick the right model for each feature, ask users for consent before their words go to an AI service, keep sensitive data away from AI entirely, and keep costs predictable.

Start a project See our proof

What we build

  • Chat and characters

    AI characters that take part in conversations, in character.

  • Coaching and planning

    Plans that are written for each user and adjusted over time.

  • Summaries and answers

    Catch up on long conversations or ask questions about them.

  • Translation and OCR

    Read text from the screen and translate it, on the device or in the cloud.

  • Image generation

    Portraits and artwork made from a short description.

  • Costs and safety

    Credits, usage limits, consent prompts and content filters.

Products we've shipped

Our own products, designed, built and launched by us.

RP NowzLive AI characters in group chats, chat summaries, drafts and portraits, paid for with credits. No Pain No GainBeta A coach that writes and adjusts training plans; health data never goes to AI.
iwannareadIn the lab On-device text recognition with translation by Claude, DeepL or a local model.
  • OpenAI
  • Claude
  • Gemini
  • Open-weight models
  • ONNX Runtime
  • On-device models

How it works

  1. 01

    A short call

    Tell us what you want to build. We ask the hard questions early.

  2. 02

    A fixed quote

    Within 48 hours: scope, timeline and price, in writing.

  3. 03

    Weekly builds

    A new version you can try every week, from the first week on.

  4. 04

    Launch and care

    We launch it with you, then keep improving it for as long as you need.

Common questions

Still curious? Ask us anything; we reply within one business day.

Which AI models do you use?

We choose per feature: OpenAI, Anthropic Claude, Google Gemini, open models, or models that run on the device. We weigh quality, speed, cost and privacy for each one.

How do you protect user data?

Users agree before their text is sent to an AI service, and sensitive data such as health information never goes to one. Where it fits, the model runs on the device so data never leaves it.

How do you keep AI costs under control?

We pick efficient models, cache where we can, and add limits or credits so usage stays predictable as your app grows.

Other services

Mobile apps Web and desktop apps Cloud backends MVPs for startups 3D and WebGL